Amodal Instance Segmentation. Unlike modal instance segmentation, which aims at assigning labels to visible parts of instances, amodal instance segmentation targets at producing the amodal (integrated) masks of each object instance involving its occluded parts. Li and Malik [1]} proposed the first amodal instance segmentation model which iteratively expands the bounding boxes and recomputes the heatmaps. Zhu et al.  [2]} proposed COCOA dataset for amodal instance segmentation and presented AmodalMask model as the baseline. Zhan et al.  [3]} propose a method to reason about the underlying occlusion ordering and recover the invisible parts in a self-supervised manner.
